Dataset statistics
| Number of variables | 14 |
|---|---|
| Number of observations | 7160 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 783.3 KiB |
| Average record size in memory | 112.0 B |
Variable types
| Numeric | 7 |
|---|---|
| Text | 3 |
| Categorical | 3 |
| DateTime | 1 |
is_installed has constant value "OUI" | Constant |
is_renting has constant value "OUI" | Constant |
is_returning has constant value "OUI" | Constant |
code_insee_commune is highly overall correlated with stationcode | High correlation |
ebike is highly overall correlated with numbikesavailable | High correlation |
mechanical is highly overall correlated with numbikesavailable and 1 other fields | High correlation |
numbikesavailable is highly overall correlated with ebike and 2 other fields | High correlation |
numdocksavailable is highly overall correlated with mechanical and 1 other fields | High correlation |
stationcode is highly overall correlated with code_insee_commune | High correlation |
numdocksavailable has 197 (2.8%) zeros | Zeros |
numbikesavailable has 309 (4.3%) zeros | Zeros |
mechanical has 1550 (21.6%) zeros | Zeros |
ebike has 653 (9.1%) zeros | Zeros |
Reproduction
| Analysis started | 2024-10-20 14:41:36.697205 |
|---|---|
| Analysis finished | 2024-10-20 14:41:39.664443 |
| Duration | 2.97 seconds |
| Software version | ydata-profiling vv4.9.0 |
| Download configuration | config.json |
stationcode
Real number (ℝ)
HIGH CORRELATION
| Distinct | 1432 |
|---|---|
| Distinct (%) | 20.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18714.631 |
| Minimum | 1001 |
|---|---|
| Maximum | 92008 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 56.1 KiB |
Quantile statistics
| Minimum | 1001 |
|---|---|
| 5-th percentile | 4010 |
| Q1 | 11030.75 |
| median | 16126.5 |
| Q3 | 22012.25 |
| 95-th percentile | 42704 |
| Maximum | 92008 |
| Range | 91007 |
| Interquartile range (IQR) | 10981.5 |
Descriptive statistics
| Standard deviation | 12172.945 |
|---|---|
| Coefficient of variation (CV) | 0.65045072 |
| Kurtosis | 6.5182235 |
| Mean | 18714.631 |
| Median Absolute Deviation (MAD) | 5326.5 |
| Skewness | 1.8252091 |
| Sum | 1.3399676 × 108 |
| Variance | 1.4818059 × 108 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1001 | 5 | 0.1% |
| 20047 | 5 | 0.1% |
| 20134 | 5 | 0.1% |
| 20132 | 5 | 0.1% |
| 20131 | 5 | 0.1% |
| 20122 | 5 | 0.1% |
| 20121 | 5 | 0.1% |
| 20119 | 5 | 0.1% |
| 20118 | 5 | 0.1% |
| 20117 | 5 | 0.1% |
| Other values (1422) | 7110 |
| Value | Count | Frequency (%) |
| 1001 | 5 | |
| 1002 | 5 | |
| 1003 | 5 | |
| 1006 | 5 | |
| 1007 | 5 | |
| 1008 | 5 | |
| 1012 | 5 | |
| 1013 | 5 | |
| 1014 | 5 | |
| 1015 | 5 |
| Value | Count | Frequency (%) |
| 92008 | 5 | |
| 92007 | 5 | |
| 92006 | 5 | |
| 92005 | 5 | |
| 92004 | 5 | |
| 92003 | 5 | |
| 92002 | 5 | |
| 92001 | 5 | |
| 51008 | 5 | |
| 51007 | 5 |
name
Text
| Distinct | 1430 |
|---|---|
| Distinct (%) | 20.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.1 KiB |
Length
| Max length | 50 |
|---|---|
| Median length | 36 |
| Mean length | 23.97905 |
| Min length | 6 |
Characters and Unicode
| Total characters | 171690 |
|---|---|
| Distinct characters | 80 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Quai de l'Horloge - Pont Neuf |
|---|---|
| 2nd row | Quai de l'Horloge - Pont Neuf |
| 3rd row | Quai de l'Horloge - Pont Neuf |
| 4th row | Quai de l'Horloge - Pont Neuf |
| 5th row | Quai de l'Horloge - Pont Neuf |
| Value | Count | Frequency (%) |
| 5565 | 19.6% | |
| de | 1405 | 5.0% |
| place | 885 | 3.1% |
| du | 450 | 1.6% |
| la | 370 | 1.3% |
| gare | 325 | 1.1% |
| porte | 265 | 0.9% |
| jean | 260 | 0.9% |
| des | 195 | 0.7% |
| square | 175 | 0.6% |
| Other values (1857) | 18480 |
Most occurring characters
| Value | Count | Frequency (%) |
| 21245 | 12.4% | |
| e | 18360 | 10.7% |
| a | 13280 | 7.7% |
| r | 11260 | 6.6% |
| i | 9930 | 5.8% |
| n | 9040 | 5.3% |
| l | 8915 | 5.2% |
| o | 7320 | 4.3% |
| t | 6750 | 3.9% |
| u | 6745 | 3.9% |
| Other values (70) | 58845 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 171690 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 21245 | 12.4% | |
| e | 18360 | 10.7% |
| a | 13280 | 7.7% |
| r | 11260 | 6.6% |
| i | 9930 | 5.8% |
| n | 9040 | 5.3% |
| l | 8915 | 5.2% |
| o | 7320 | 4.3% |
| t | 6750 | 3.9% |
| u | 6745 | 3.9% |
| Other values (70) | 58845 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 171690 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 21245 | 12.4% | |
| e | 18360 | 10.7% |
| a | 13280 | 7.7% |
| r | 11260 | 6.6% |
| i | 9930 | 5.8% |
| n | 9040 | 5.3% |
| l | 8915 | 5.2% |
| o | 7320 | 4.3% |
| t | 6750 | 3.9% |
| u | 6745 | 3.9% |
| Other values (70) | 58845 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 171690 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 21245 | 12.4% | |
| e | 18360 | 10.7% |
| a | 13280 | 7.7% |
| r | 11260 | 6.6% |
| i | 9930 | 5.8% |
| n | 9040 | 5.3% |
| l | 8915 | 5.2% |
| o | 7320 | 4.3% |
| t | 6750 | 3.9% |
| u | 6745 | 3.9% |
| Other values (70) | 58845 |
is_installed
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.1 KiB |
| OUI |
|---|
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 21480 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | OUI |
|---|---|
| 2nd row | OUI |
| 3rd row | OUI |
| 4th row | OUI |
| 5th row | OUI |
Common Values
| Value | Count | Frequency (%) |
| OUI | 7160 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| oui | 7160 |
Most occurring characters
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 21480 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 21480 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 21480 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
capacity
Real number (ℝ)
| Distinct | 63 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 31.62919 |
| Minimum | 6 |
|---|---|
| Maximum | 76 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 56.1 KiB |
Quantile statistics
| Minimum | 6 |
|---|---|
| 5-th percentile | 17 |
| Q1 | 23 |
| median | 29.5 |
| Q3 | 37 |
| 95-th percentile | 55 |
| Maximum | 76 |
| Range | 70 |
| Interquartile range (IQR) | 14 |
Descriptive statistics
| Standard deviation | 11.737279 |
|---|---|
| Coefficient of variation (CV) | 0.3710901 |
| Kurtosis | 0.67226833 |
| Mean | 31.62919 |
| Median Absolute Deviation (MAD) | 6.5 |
| Skewness | 0.99138926 |
| Sum | 226465 |
| Variance | 137.76372 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 30 | 455 | 6.4% |
| 20 | 405 | 5.7% |
| 25 | 335 | 4.7% |
| 28 | 330 | 4.6% |
| 22 | 310 | 4.3% |
| 24 | 305 | 4.3% |
| 26 | 300 | 4.2% |
| 33 | 275 | 3.8% |
| 23 | 255 | 3.6% |
| 32 | 230 | 3.2% |
| Other values (53) | 3960 |
| Value | Count | Frequency (%) |
| 6 | 5 | 0.1% |
| 11 | 15 | 0.2% |
| 12 | 30 | 0.4% |
| 13 | 10 | 0.1% |
| 14 | 25 | 0.3% |
| 15 | 70 | |
| 16 | 120 | |
| 17 | 140 | |
| 18 | 160 | |
| 19 | 165 |
| Value | Count | Frequency (%) |
| 76 | 5 | 0.1% |
| 74 | 5 | 0.1% |
| 71 | 5 | 0.1% |
| 69 | 5 | 0.1% |
| 68 | 20 | |
| 67 | 25 | |
| 66 | 25 | |
| 65 | 30 | |
| 64 | 10 | 0.1% |
| 63 | 20 |
numdocksavailable
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 63 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 18.280447 |
| Minimum | 0 |
|---|---|
| Maximum | 63 |
| Zeros | 197 |
| Zeros (%) | 2.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 56.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 8 |
| median | 17 |
| Q3 | 26 |
| 95-th percentile | 41 |
| Maximum | 63 |
| Range | 63 |
| Interquartile range (IQR) | 18 |
Descriptive statistics
| Standard deviation | 12.244887 |
|---|---|
| Coefficient of variation (CV) | 0.66983522 |
| Kurtosis | 0.070176017 |
| Mean | 18.280447 |
| Median Absolute Deviation (MAD) | 9 |
| Skewness | 0.6242645 |
| Sum | 130888 |
| Variance | 149.93726 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 19 | 271 | 3.8% |
| 18 | 269 | 3.8% |
| 20 | 250 | 3.5% |
| 1 | 246 | 3.4% |
| 2 | 238 | 3.3% |
| 15 | 238 | 3.3% |
| 17 | 237 | 3.3% |
| 21 | 213 | 3.0% |
| 22 | 210 | 2.9% |
| 16 | 209 | 2.9% |
| Other values (53) | 4779 |
| Value | Count | Frequency (%) |
| 0 | 197 | |
| 1 | 246 | |
| 2 | 238 | |
| 3 | 204 | |
| 4 | 199 | |
| 5 | 157 | |
| 6 | 185 | |
| 7 | 172 | |
| 8 | 199 | |
| 9 | 194 |
| Value | Count | Frequency (%) |
| 63 | 2 | < 0.1% |
| 62 | 3 | < 0.1% |
| 60 | 3 | < 0.1% |
| 59 | 3 | < 0.1% |
| 58 | 8 | |
| 57 | 7 | |
| 56 | 9 | |
| 55 | 7 | |
| 54 | 12 | |
| 53 | 8 |
numbikesavailable
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 74 |
|---|---|
| Distinct (%) | 1.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 12.255587 |
| Minimum | 0 |
|---|---|
| Maximum | 79 |
| Zeros | 309 |
| Zeros (%) | 4.3% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 56.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 3 |
| median | 8 |
| Q3 | 18 |
| 95-th percentile | 36 |
| Maximum | 79 |
| Range | 79 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 12.005099 |
|---|---|
| Coefficient of variation (CV) | 0.97956135 |
| Kurtosis | 2.6489754 |
| Mean | 12.255587 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 1.539758 |
| Sum | 87750 |
| Variance | 144.1224 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2 | 574 | 8.0% |
| 1 | 566 | 7.9% |
| 3 | 494 | 6.9% |
| 4 | 452 | 6.3% |
| 5 | 390 | 5.4% |
| 7 | 326 | 4.6% |
| 6 | 324 | 4.5% |
| 0 | 309 | 4.3% |
| 8 | 248 | 3.5% |
| 9 | 227 | 3.2% |
| Other values (64) | 3250 |
| Value | Count | Frequency (%) |
| 0 | 309 | |
| 1 | 566 | |
| 2 | 574 | |
| 3 | 494 | |
| 4 | 452 | |
| 5 | 390 | |
| 6 | 324 | |
| 7 | 326 | |
| 8 | 248 | |
| 9 | 227 | 3.2% |
| Value | Count | Frequency (%) |
| 79 | 1 | < 0.1% |
| 77 | 1 | < 0.1% |
| 74 | 1 | < 0.1% |
| 73 | 1 | < 0.1% |
| 71 | 1 | < 0.1% |
| 70 | 2 | |
| 68 | 1 | < 0.1% |
| 67 | 1 | < 0.1% |
| 65 | 3 | |
| 64 | 3 |
mechanical
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 65 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.799162 |
| Minimum | 0 |
|---|---|
| Maximum | 65 |
| Zeros | 1550 |
| Zeros (%) | 21.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 56.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1 |
| median | 4 |
| Q3 | 12 |
| 95-th percentile | 28 |
| Maximum | 65 |
| Range | 65 |
| Interquartile range (IQR) | 11 |
Descriptive statistics
| Standard deviation | 9.8154161 |
|---|---|
| Coefficient of variation (CV) | 1.2585219 |
| Kurtosis | 4.1160232 |
| Mean | 7.799162 |
| Median Absolute Deviation (MAD) | 4 |
| Skewness | 1.8718652 |
| Sum | 55842 |
| Variance | 96.342393 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 1550 | |
| 1 | 935 | |
| 2 | 620 | 8.7% |
| 3 | 440 | 6.1% |
| 4 | 316 | 4.4% |
| 5 | 274 | 3.8% |
| 6 | 224 | 3.1% |
| 7 | 208 | 2.9% |
| 9 | 193 | 2.7% |
| 8 | 182 | 2.5% |
| Other values (55) | 2218 |
| Value | Count | Frequency (%) |
| 0 | 1550 | |
| 1 | 935 | |
| 2 | 620 | 8.7% |
| 3 | 440 | 6.1% |
| 4 | 316 | 4.4% |
| 5 | 274 | 3.8% |
| 6 | 224 | 3.1% |
| 7 | 208 | 2.9% |
| 8 | 182 | 2.5% |
| 9 | 193 | 2.7% |
| Value | Count | Frequency (%) |
| 65 | 1 | < 0.1% |
| 64 | 1 | < 0.1% |
| 63 | 1 | < 0.1% |
| 62 | 2 | |
| 61 | 1 | < 0.1% |
| 60 | 2 | |
| 59 | 1 | < 0.1% |
| 58 | 4 | |
| 57 | 3 | |
| 56 | 3 |
ebike
Real number (ℝ)
HIGH CORRELATION ZEROS
| Distinct | 37 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 4.4564246 |
| Minimum | 0 |
|---|---|
| Maximum | 40 |
| Zeros | 653 |
| Zeros (%) | 9.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 56.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 2 |
| median | 3 |
| Q3 | 6 |
| 95-th percentile | 13 |
| Maximum | 40 |
| Range | 40 |
| Interquartile range (IQR) | 4 |
Descriptive statistics
| Standard deviation | 4.3448628 |
|---|---|
| Coefficient of variation (CV) | 0.97496608 |
| Kurtosis | 7.2390711 |
| Mean | 4.4564246 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 2.1753299 |
| Sum | 31908 |
| Variance | 18.877833 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=37)
| Value | Count | Frequency (%) |
| 1 | 1110 | |
| 2 | 1060 | |
| 3 | 952 | |
| 4 | 791 | |
| 0 | 653 | |
| 5 | 597 | |
| 6 | 474 | |
| 7 | 310 | 4.3% |
| 8 | 243 | 3.4% |
| 9 | 184 | 2.6% |
| Other values (27) | 786 |
| Value | Count | Frequency (%) |
| 0 | 653 | |
| 1 | 1110 | |
| 2 | 1060 | |
| 3 | 952 | |
| 4 | 791 | |
| 5 | 597 | |
| 6 | 474 | |
| 7 | 310 | 4.3% |
| 8 | 243 | 3.4% |
| 9 | 184 | 2.6% |
| Value | Count | Frequency (%) |
| 40 | 1 | < 0.1% |
| 38 | 1 | < 0.1% |
| 37 | 1 | < 0.1% |
| 33 | 1 | < 0.1% |
| 32 | 3 | |
| 31 | 3 | |
| 30 | 4 | |
| 29 | 4 | |
| 28 | 5 | |
| 27 | 2 | < 0.1% |
is_renting
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.1 KiB |
| OUI |
|---|
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 21480 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | OUI |
|---|---|
| 2nd row | OUI |
| 3rd row | OUI |
| 4th row | OUI |
| 5th row | OUI |
Common Values
| Value | Count | Frequency (%) |
| OUI | 7160 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| oui | 7160 |
Most occurring characters
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 21480 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 21480 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 21480 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
is_returning
Categorical
CONSTANT
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.1 KiB |
| OUI |
|---|
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 21480 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | OUI |
|---|---|
| 2nd row | OUI |
| 3rd row | OUI |
| 4th row | OUI |
| 5th row | OUI |
Common Values
| Value | Count | Frequency (%) |
| OUI | 7160 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| oui | 7160 |
Most occurring characters
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 21480 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 21480 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 21480 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| O | 7160 | |
| U | 7160 | |
| I | 7160 |
duedate
Date
| Distinct | 2071 |
|---|---|
| Distinct (%) | 28.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.1 KiB |
| Minimum | 2024-10-17 08:33:05+02:00 |
|---|---|
| Maximum | 2024-10-17 21:40:07+02:00 |
Histogram with fixed size bins (bins=50)
coordonnees_geo
Text
| Distinct | 1432 |
|---|---|
| Distinct (%) | 20.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.1 KiB |
Length
| Max length | 37 |
|---|---|
| Median length | 36 |
| Mean length | 31.207402 |
| Min length | 14 |
Characters and Unicode
| Total characters | 223445 |
|---|---|
| Distinct characters | 12 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 48.857058739111,2.3417982839439 |
|---|---|
| 2nd row | 48.857058739111,2.3417982839439 |
| 3rd row | 48.857058739111,2.3417982839439 |
| 4th row | 48.857058739111,2.3417982839439 |
| 5th row | 48.857058739111,2.3417982839439 |
| Value | Count | Frequency (%) |
| 48.857058739111,2.3417982839439 | 5 | 0.1% |
| 48.86617395079137,2.3449775576591496 | 5 | 0.1% |
| 48.8626302,2.3498075 | 5 | 0.1% |
| 48.86358858111446,2.3477794602513313 | 5 | 0.1% |
| 48.86362695901683,2.342623919248581 | 5 | 0.1% |
| 48.86297805972131,2.3414635285735126 | 5 | 0.1% |
| 48.862382970647,2.3384822532535 | 5 | 0.1% |
| 48.86364636851945,2.33409583568573 | 5 | 0.1% |
| 48.863925158727,2.3356226831675 | 5 | 0.1% |
| 48.866483514509,2.3344334212238 | 5 | 0.1% |
| Other values (1422) | 7110 |
Most occurring characters
| Value | Count | Frequency (%) |
| 8 | 30080 | |
| 4 | 25760 | |
| 2 | 25200 | |
| 3 | 21350 | |
| 5 | 17410 | |
| 6 | 17385 | |
| 7 | 17370 | |
| 9 | 16455 | |
| 1 | 16310 | |
| 0 | 14645 | |
| Other values (2) | 21480 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 223445 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| 8 | 30080 | |
| 4 | 25760 | |
| 2 | 25200 | |
| 3 | 21350 | |
| 5 | 17410 | |
| 6 | 17385 | |
| 7 | 17370 | |
| 9 | 16455 | |
| 1 | 16310 | |
| 0 | 14645 | |
| Other values (2) | 21480 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 223445 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| 8 | 30080 | |
| 4 | 25760 | |
| 2 | 25200 | |
| 3 | 21350 | |
| 5 | 17410 | |
| 6 | 17385 | |
| 7 | 17370 | |
| 9 | 16455 | |
| 1 | 16310 | |
| 0 | 14645 | |
| Other values (2) | 21480 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 223445 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| 8 | 30080 | |
| 4 | 25760 | |
| 2 | 25200 | |
| 3 | 21350 | |
| 5 | 17410 | |
| 6 | 17385 | |
| 7 | 17370 | |
| 9 | 16455 | |
| 1 | 16310 | |
| 0 | 14645 | |
| Other values (2) | 21480 |
| Distinct | 64 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 56.1 KiB |
Length
| Max length | 21 |
|---|---|
| Median length | 5 |
| Mean length | 7.4036313 |
| Min length | 5 |
Characters and Unicode
| Total characters | 53010 |
|---|---|
| Distinct characters | 47 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Paris |
|---|---|
| 2nd row | Paris |
| 3rd row | Paris |
| 4th row | Paris |
| 5th row | Paris |
| Value | Count | Frequency (%) |
| paris | 4820 | |
| boulogne-billancourt | 145 | 2.0% |
| montreuil | 115 | 1.6% |
| issy-les-moulineaux | 110 | 1.5% |
| pantin | 105 | 1.4% |
| saint-denis | 95 | 1.3% |
| ivry-sur-seine | 90 | 1.2% |
| vitry-sur-seine | 75 | 1.0% |
| aubervilliers | 65 | 0.9% |
| clichy | 65 | 0.9% |
| Other values (57) | 1570 | 21.6% |
Most occurring characters
| Value | Count | Frequency (%) |
| i | 7240 | |
| s | 6640 | |
| r | 6550 | |
| a | 6310 | |
| P | 5025 | |
| e | 3235 | 6.1% |
| n | 2655 | 5.0% |
| l | 2130 | 4.0% |
| - | 1865 | 3.5% |
| o | 1780 | 3.4% |
| Other values (37) | 9580 |
Most occurring categories
| Value | Count | Frequency (%) |
| (unknown) | 53010 |
Most frequent character per category
(unknown)
| Value | Count | Frequency (%) |
| i | 7240 | |
| s | 6640 | |
| r | 6550 | |
| a | 6310 | |
| P | 5025 | |
| e | 3235 | 6.1% |
| n | 2655 | 5.0% |
| l | 2130 | 4.0% |
| - | 1865 | 3.5% |
| o | 1780 | 3.4% |
| Other values (37) | 9580 |
Most occurring scripts
| Value | Count | Frequency (%) |
| (unknown) | 53010 |
Most frequent character per script
(unknown)
| Value | Count | Frequency (%) |
| i | 7240 | |
| s | 6640 | |
| r | 6550 | |
| a | 6310 | |
| P | 5025 | |
| e | 3235 | 6.1% |
| n | 2655 | 5.0% |
| l | 2130 | 4.0% |
| - | 1865 | 3.5% |
| o | 1780 | 3.4% |
| Other values (37) | 9580 |
Most occurring blocks
| Value | Count | Frequency (%) |
| (unknown) | 53010 |
Most frequent character per block
(unknown)
| Value | Count | Frequency (%) |
| i | 7240 | |
| s | 6640 | |
| r | 6550 | |
| a | 6310 | |
| P | 5025 | |
| e | 3235 | 6.1% |
| n | 2655 | 5.0% |
| l | 2130 | 4.0% |
| - | 1865 | 3.5% |
| o | 1780 | 3.4% |
| Other values (37) | 9580 |
code_insee_commune
Real number (ℝ)
HIGH CORRELATION
| Distinct | 64 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 80868.438 |
| Minimum | 75056 |
|---|---|
| Maximum | 95018 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 56.1 KiB |
Quantile statistics
| Minimum | 75056 |
|---|---|
| 5-th percentile | 75056 |
| Q1 | 75056 |
| median | 75056 |
| Q3 | 92040 |
| 95-th percentile | 94041 |
| Maximum | 95018 |
| Range | 19962 |
| Interquartile range (IQR) | 16984 |
Descriptive statistics
| Standard deviation | 8357.6348 |
|---|---|
| Coefficient of variation (CV) | 0.10334854 |
| Kurtosis | -1.4205869 |
| Mean | 80868.438 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.75023302 |
| Sum | 5.7901802 × 108 |
| Variance | 69850059 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 75056 | 4820 | |
| 92012 | 145 | 2.0% |
| 93048 | 115 | 1.6% |
| 92040 | 110 | 1.5% |
| 93055 | 105 | 1.5% |
| 93066 | 95 | 1.3% |
| 94041 | 90 | 1.3% |
| 94081 | 75 | 1.0% |
| 92049 | 65 | 0.9% |
| 92024 | 65 | 0.9% |
| Other values (54) | 1475 | 20.6% |
| Value | Count | Frequency (%) |
| 75056 | 4820 | |
| 92004 | 60 | 0.8% |
| 92007 | 30 | 0.4% |
| 92009 | 10 | 0.1% |
| 92012 | 145 | 2.0% |
| 92014 | 15 | 0.2% |
| 92020 | 30 | 0.4% |
| 92022 | 15 | 0.2% |
| 92023 | 15 | 0.2% |
| 92024 | 65 | 0.9% |
| Value | Count | Frequency (%) |
| 95018 | 35 | |
| 94081 | 75 | |
| 94080 | 50 | |
| 94076 | 55 | |
| 94069 | 15 | 0.2% |
| 94067 | 30 | 0.4% |
| 94052 | 20 | 0.3% |
| 94046 | 30 | 0.4% |
| 94043 | 25 | 0.3% |
| 94042 | 5 | 0.1% |
| capacity | code_insee_commune | ebike | mechanical | numbikesavailable | numdocksavailable | stationcode | |
|---|---|---|---|---|---|---|---|
| capacity | 1.000 | -0.102 | 0.200 | 0.312 | 0.319 | 0.443 | -0.103 |
| code_insee_commune | -0.102 | 1.000 | -0.049 | -0.045 | -0.049 | -0.030 | 0.819 |
| ebike | 0.200 | -0.049 | 1.000 | 0.446 | 0.719 | -0.437 | -0.171 |
| mechanical | 0.312 | -0.045 | 0.446 | 1.000 | 0.919 | -0.578 | -0.244 |
| numbikesavailable | 0.319 | -0.049 | 0.719 | 0.919 | 1.000 | -0.624 | -0.244 |
| numdocksavailable | 0.443 | -0.030 | -0.437 | -0.578 | -0.624 | 1.000 | 0.149 |
| stationcode | -0.103 | 0.819 | -0.171 | -0.244 | -0.244 | 0.149 | 1.000 |
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
| stationcode | name | is_installed | capacity | numdocksavailable | numbikesavailable | mechanical | ebike | is_renting | is_returning | duedate | coordonnees_geo | nom_arrondissement_communes | code_insee_commune | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1001 | Quai de l'Horloge - Pont Neuf | OUI | 17 | 2 | 15 | 5 | 10 | OUI | OUI | 2024-10-17 15:36:37+02:00 | 48.857058739111,2.3417982839439 | Paris | 75056 |
| 1 | 1001 | Quai de l'Horloge - Pont Neuf | OUI | 17 | 1 | 16 | 8 | 8 | OUI | OUI | 2024-10-17 11:30:10+02:00 | 48.857058739111,2.3417982839439 | Paris | 75056 |
| 2 | 1001 | Quai de l'Horloge - Pont Neuf | OUI | 17 | 3 | 14 | 7 | 7 | OUI | OUI | 2024-10-17 09:37:07+02:00 | 48.857058739111,2.3417982839439 | Paris | 75056 |
| 3 | 1001 | Quai de l'Horloge - Pont Neuf | OUI | 17 | 2 | 15 | 4 | 11 | OUI | OUI | 2024-10-17 18:37:32+02:00 | 48.857058739111,2.3417982839439 | Paris | 75056 |
| 4 | 1001 | Quai de l'Horloge - Pont Neuf | OUI | 17 | 4 | 13 | 8 | 5 | OUI | OUI | 2024-10-17 21:38:57+02:00 | 48.857058739111,2.3417982839439 | Paris | 75056 |
| 5 | 1002 | Victoria - Place du Chatelet | OUI | 22 | 3 | 17 | 13 | 4 | OUI | OUI | 2024-10-17 11:38:43+02:00 | 48.857992591527,2.3469167947769 | Paris | 75056 |
| 6 | 1002 | Victoria - Place du Chatelet | OUI | 22 | 2 | 17 | 15 | 2 | OUI | OUI | 2024-10-17 18:38:45+02:00 | 48.857992591527,2.3469167947769 | Paris | 75056 |
| 7 | 1002 | Victoria - Place du Chatelet | OUI | 22 | 8 | 11 | 10 | 1 | OUI | OUI | 2024-10-17 21:39:16+02:00 | 48.857992591527,2.3469167947769 | Paris | 75056 |
| 8 | 1002 | Victoria - Place du Chatelet | OUI | 22 | 5 | 15 | 12 | 3 | OUI | OUI | 2024-10-17 15:39:17+02:00 | 48.857992591527,2.3469167947769 | Paris | 75056 |
| 9 | 1002 | Victoria - Place du Chatelet | OUI | 22 | 3 | 16 | 13 | 3 | OUI | OUI | 2024-10-17 09:38:30+02:00 | 48.857992591527,2.3469167947769 | Paris | 75056 |
| stationcode | name | is_installed | capacity | numdocksavailable | numbikesavailable | mechanical | ebike | is_renting | is_returning | duedate | coordonnees_geo | nom_arrondissement_communes | code_insee_commune | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7150 | 92007 | Pesaro - Préfecture | OUI | 22 | 15 | 7 | 2 | 5 | OUI | OUI | 2024-10-17 18:39:34+02:00 | 48.89577046284005,2.223908342421055 | Nanterre | 92050 |
| 7151 | 92007 | Pesaro - Préfecture | OUI | 22 | 19 | 3 | 1 | 2 | OUI | OUI | 2024-10-17 21:30:58+02:00 | 48.89577046284005,2.223908342421055 | Nanterre | 92050 |
| 7152 | 92007 | Pesaro - Préfecture | OUI | 22 | 10 | 12 | 5 | 7 | OUI | OUI | 2024-10-17 09:38:41+02:00 | 48.89577046284005,2.223908342421055 | Nanterre | 92050 |
| 7153 | 92007 | Pesaro - Préfecture | OUI | 22 | 13 | 9 | 4 | 5 | OUI | OUI | 2024-10-17 11:33:47+02:00 | 48.89577046284005,2.223908342421055 | Nanterre | 92050 |
| 7154 | 92007 | Pesaro - Préfecture | OUI | 22 | 12 | 10 | 4 | 6 | OUI | OUI | 2024-10-17 15:36:27+02:00 | 48.89577046284005,2.223908342421055 | Nanterre | 92050 |
| 7155 | 92008 | Hôtel de Ville de Nanterre | OUI | 38 | 20 | 17 | 14 | 3 | OUI | OUI | 2024-10-17 09:35:42+02:00 | 48.892371898250424,2.205548956990242 | Nanterre | 92050 |
| 7156 | 92008 | Hôtel de Ville de Nanterre | OUI | 38 | 26 | 11 | 9 | 2 | OUI | OUI | 2024-10-17 15:38:33+02:00 | 48.892371898250424,2.205548956990242 | Nanterre | 92050 |
| 7157 | 92008 | Hôtel de Ville de Nanterre | OUI | 38 | 22 | 15 | 11 | 4 | OUI | OUI | 2024-10-17 11:36:38+02:00 | 48.892371898250424,2.205548956990242 | Nanterre | 92050 |
| 7158 | 92008 | Hôtel de Ville de Nanterre | OUI | 38 | 26 | 11 | 8 | 3 | OUI | OUI | 2024-10-17 21:37:12+02:00 | 48.892371898250424,2.205548956990242 | Nanterre | 92050 |
| 7159 | 92008 | Hôtel de Ville de Nanterre | OUI | 38 | 26 | 11 | 8 | 3 | OUI | OUI | 2024-10-17 18:36:37+02:00 | 48.892371898250424,2.205548956990242 | Nanterre | 92050 |